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ORCIDYi Chang 0001
Person information
- affiliation: Jilin University, China
- affiliation (former): Huawei Research America
- affiliation (former): Yahoo Research
Other persons with the same name
- Yi Chang — disambiguation page
- Yi Chang 0002
![[0000-0001-8542-5937]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-8542-5937")
— Huazhong University, School of Artificial Intelligence and Automation, Wuhan, China - Yi Chang 0003 — National Tsing Hua University, Department of Electrical Engineering, Hsinchu, Taiwan
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2020 – today
- 2022
[j29]Jiashu Zhao, Jimmy Xiangji Huang, Hongbo Deng, Yi Chang, Long Xia:
Are Topics Interesting or Not? An LDA-based Topic-graph Probabilistic Model for Web Search Personalization. ACM Trans. Inf. Syst. 40(3): 51:1-51:24 (2022)- [c131]Kai Guo, Kaixiong Zhou, Xia Hu, Yu Li, Yi Chang, Xin Wang:
Orthogonal Graph Neural Networks. AAAI 2022: 3996-4004 - 2021
- [j28]Tung-Yao Hsu, Yi Chang, Ming-An Lee, Ren-Fen Wu, Shih-Chun Hsiao:
Predicting Skipjack Tuna Fishing Grounds in the Western and Central Pacific Ocean Based on High-Spatial-Temporal-Resolution Satellite Data. Remote. Sens. 13(5): 861 (2021) - [c130]Zhiwei Yang, Jing Ma, Hechang Chen, Yunke Zhang, Yi Chang:
HiTRANS: A Hierarchical Transformer Network for Nested Named Entity Recognition. EMNLP (Findings) 2021: 124-132 - [c129]Bo Wang, Tao Shen, Guodong Long, Tianyi Zhou, Yi Chang:
Eliminating Sentiment Bias for Aspect-Level Sentiment Classification with Unsupervised Opinion Extraction. EMNLP (Findings) 2021: 3002-3012 - [c128]Siyuan Guo, Lixin Zou, Yiding Liu, Wenwen Ye, Suqi Cheng, Shuaiqiang Wang, Hechang Chen, Dawei Yin, Yi Chang:
Enhanced Doubly Robust Learning for Debiasing Post-Click Conversion Rate Estimation. SIGIR 2021: 275-284 - [c127]Xinwei Wu, Hechang Chen, Jiashu Zhao, Li He, Dawei Yin, Yi Chang:
Unbiased Learning to Rank in Feeds Recommendation. WSDM 2021: 490-498 - [c126]Bo Wang, Tao Shen, Guodong Long, Tianyi Zhou, Ying Wang, Yi Chang:
Structure-Augmented Text Representation Learning for Efficient Knowledge Graph Completion. WWW 2021: 1737-1748 - [i36]Yuxiang Ren, Bo Wang, Jiawei Zhang, Yi Chang:
Adversarial Active Learning based Heterogeneous Graph Neural Network for Fake News Detection. CoRR abs/2101.11206 (2021) - [i35]Tingyu Xia, Yue Wang, Yuan Tian, Yi Chang:
Using Prior Knowledge to Guide BERT's Attention in Semantic Textual Matching Tasks. CoRR abs/2102.10934 (2021) - [i34]Siyuan Guo, Lixin Zou, Yiding Liu, Wenwen Ye, Suqi Cheng, Shuaiqiang Wang, Hechang Chen, Dawei Yin, Yi Chang:
Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation. CoRR abs/2105.13623 (2021) - [i33]Bo Wang, Tao Shen, Guodong Long, Tianyi Zhou, Yi Chang:
Eliminating Sentiment Bias for Aspect-Level Sentiment Classification with Unsupervised Opinion Extraction. CoRR abs/2109.02403 (2021) - [i32]Kai Guo, Kaixiong Zhou, Xia Hu, Yu Li, Yi Chang, Xin Wang:
Orthogonal Graph Neural Networks. CoRR abs/2109.11338 (2021) - [i31]Haotian Xue, Kaixiong Zhou, Tianlong Chen, Kai Guo, Xia Hu, Yi Chang, Xin Wang:
CAP: Co-Adversarial Perturbation on Weights and Features for Improving Generalization of Graph Neural Networks. CoRR abs/2110.14855 (2021) - [i30]Zhining Liu, Zhepei Wei, Erxin Yu, Qiang Huang, Kai Guo, Boyang Yu, Zhaonian Cai, Hangting Ye, Wei Cao, Jiang Bian, Pengfei Wei, Jing Jiang, Yi Chang:
IMBENS: Ensemble Class-imbalanced Learning in Python. CoRR abs/2111.12776 (2021) - 2020
- [j27]Suthee Chaidaroon, Dae Hoon Park, Yi Chang, Yi Fang:
node2hash: Graph aware deep semantic text hashing. Inf. Process. Manag. 57(6): 102143 (2020) - [c125]Qiang Huang, Tingyu Xia, Huiyan Sun, Makoto Yamada, Yi Chang:
Unsupervised Nonlinear Feature Selection from High-Dimensional Signed Networks. AAAI 2020: 4182-4189 - [c124]Yu Li, Yuan Tian, Jiawei Zhang, Yi Chang:
Learning Signed Network Embedding via Graph Attention. AAAI 2020: 4772-4779 - [c123]Zhepei Wei, Jianlin Su, Yue Wang, Yuan Tian, Yi Chang:
A Novel Cascade Binary Tagging Framework for Relational Triple Extraction. ACL 2020: 1476-1488 - [c122]Erxin Yu, Wenjuan Han, Yuan Tian, Yi Chang:
ToHRE: A Top-Down Classification Strategy with Hierarchical Bag Representation for Distantly Supervised Relation Extraction. COLING 2020: 1665-1676 - [c121]Erxin Yu, Yantao Jia, Shang Wang, Fengfu Li, Yi Chang:
Context and Type Enhanced Representation Learning for Relation Extraction. ICKG 2020: 329-335 - [c120]Erxin Yu, Yantao Jia, Yuan Tian, Yi Chang:
A Two-Level Noise-Tolerant Model for Relation Extraction with Reinforcement Learning. ICKG 2020: 367-373 - [c119]Zhining Liu, Wei Cao, Zhifeng Gao, Jiang Bian, Hechang Chen, Yi Chang, Tie-Yan Liu:
Self-paced Ensemble for Highly Imbalanced Massive Data Classification. ICDE 2020: 841-852 - [c118]Yuxiang Ren, Bo Wang, Jiawei Zhang, Yi Chang:
Adversarial Active Learning based Heterogeneous Graph Neural Network for Fake News Detection. ICDM 2020: 452-461 - [c117]Zhiwei Yang, Hechang Chen, Jiawei Zhang, Jing Ma, Yi Chang:
Attention-based Multi-level Feature Fusion for Named Entity Recognition. IJCAI 2020: 3594-3600 - [c116]Sili Huang, Bo Yang, Hechang Chen, Haiyin Piao, Zhixiao Sun, Yi Chang:
MA-TREX: Mutli-agent Trajectory-Ranked Reward Extrapolation via Inverse Reinforcement Learning. KSEM (2) 2020: 3-14 - [c115]Zhining Liu, Pengfei Wei, Jing Jiang, Wei Cao, Jiang Bian, Yi Chang:
MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler. NeurIPS 2020 - [e5]Jimmy X. Huang, Yi Chang, Xueqi Cheng, Jaap Kamps, Vanessa Murdock, Ji-Rong Wen, Yiqun Liu:
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, SIGIR 2020, Virtual Event, China, July 25-30, 2020. ACM 2020, ISBN 978-1-4503-8016-4 [contents] - [i29]Qiang Huang, Makoto Yamada, Yuan Tian, Dinesh Singh, Dawei Yin, Yi Chang:
GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks. CoRR abs/2001.06216 (2020) - [i28]Bo Wang, Tao Shen, Guodong Long, Tianyi Zhou, Yi Chang:
Semantic Triple Encoder for Fast Open-Set Link Prediction. CoRR abs/2004.14781 (2020) - [i27]Zhining Liu, Pengfei Wei, Jing Jiang, Wei Cao, Jiang Bian, Yi Chang:
MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler. CoRR abs/2010.08830 (2020)
2010 – 2019
- 2019
- [c114]Hongyang Jiang, Qiang Huang, Liang Chen, Zhi Li, Ying Xu, Huiyan Sun, Yi Chang:
Multi-Classification of Cancer Samples Based on Co-Expression Analyses. BIBM 2019: 197-201 - [c113]Tyler Derr, Cassidy Johnson, Yi Chang, Jiliang Tang:
Balance in Signed Bipartite Networks. CIKM 2019: 1221-1230 - [c112]Ye Liu, Chenwei Zhang, Xiaohui Yan, Yi Chang, Philip S. Yu:
Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System. CIKM 2019: 1643-1652 - [c111]Gaurav Pandey, Shuaiqiang Wang, Zhaochun Ren, Yi Chang:
Vectors of Pairwise Item Preferences. ECIR (1) 2019: 323-336 - [c110]Yu Li, Ying Wang, Tingting Zhang, Jiawei Zhang, Yi Chang:
Learning Network Embedding with Community Structural Information. IJCAI 2019: 2937-2943 - [c109]Shuai Wang, Mianwei Zhou, Sahisnu Mazumder, Bing Liu, Yi Chang:
Disentangling Aspect and Opinion Words in Sentiment Analysis Using Lifelong PU Learning. NFMCP@PKDD/ECML 2019: 100-115 - [c108]Dae Hoon Park, Yi Chang:
Adversarial Sampling and Training for Semi-Supervised Information Retrieval. WWW 2019: 1443-1453 - [i26]Shubhra Kanti Karmaker Santu, Liangda Li, Yi Chang, ChengXiang Zhai:
JIM: Joint Influence Modeling for Collective Search Behavior. CoRR abs/1903.00562 (2019) - [i25]Ye Liu, Chenwei Zhang, Xiaohui Yan, Yi Chang, Philip S. Yu:
Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System. CoRR abs/1908.05604 (2019) - [i24]Zhepei Wei, Yantao Jia, Yuan Tian, Mohammad Javad Hosseini, Mark Steedman, Yi Chang:
Joint Extraction of Entities and Relations with a Hierarchical Multi-task Tagging Model. CoRR abs/1908.08672 (2019) - [i23]Chao-Lin Liu, Yi Chang:
Classical Chinese Sentence Segmentation for Tomb Biographies of Tang Dynasty. CoRR abs/1908.10606 (2019) - [i22]Zhepei Wei, Jianlin Su, Yue Wang, Yuan Tian, Yi Chang:
A Novel Hierarchical Binary Tagging Framework for Joint Extraction of Entities and Relations. CoRR abs/1909.03227 (2019) - [i21]Zhining Liu, Wei Cao, Zhifeng Gao, Jiang Bian, Hechang Chen, Yi Chang, Tie-Yan Liu:
Self-paced Ensemble for Highly Imbalanced Massive Data Classification. CoRR abs/1909.03500 (2019) - [i20]Tyler Derr, Cassidy Johnson, Yi Chang, Jiliang Tang:
Balance in Signed Bipartite Networks. CoRR abs/1909.06073 (2019) - 2018
- [j26]Wenfei Cao, Yi Chang, Guodong Han, Junbing Li:
Destriping Remote Sensing Image via Low-Rank Approximation and Nonlocal Total Variation. IEEE Geosci. Remote. Sens. Lett. 15(6): 848-852 (2018) - [j25]Makoto Yamada, Jiliang Tang, Jose Lugo-Martinez, Ermin Hodzic, Raunak Shrestha, Avishek Saha, Hua Ouyang, Dawei Yin, Hiroshi Mamitsuka, Süleyman Cenk Sahinalp, Predrag Radivojac, Filippo Menczer, Yi Chang:
Ultra High-Dimensional Nonlinear Feature Selection for Big Biological Data. IEEE Trans. Knowl. Data Eng. 30(7): 1352-1365 (2018) - [j24]Yue Wang, Dawei Yin, Luo Jie, Pengyuan Wang, Makoto Yamada, Yi Chang, Qiaozhu Mei:
Optimizing Whole-Page Presentation for Web Search. ACM Trans. Web 12(3): 19:1-19:25 (2018) - [c107]Shuai Wang, Sahisnu Mazumder, Bing Liu, Mianwei Zhou, Yi Chang:
Target-Sensitive Memory Networks for Aspect Sentiment Classification. ACL (1) 2018: 957-967 - [c106]Shashi Narayan, Ronald Cardenas, Nikos Papasarantopoulos, Shay B. Cohen, Mirella Lapata, Jiangsheng Yu, Yi Chang:
Document Modeling with External Attention for Sentence Extraction. ACL (1) 2018: 2020-2030 - [c105]Kai Shu, Suhang Wang, Huan Liu, Jiliang Tang, Yi Chang, Ping Luo:
Exploiting User Actions for App Recommendations. ASONAM 2018: 139-142 - [c104]Shubhra Kanti Karmaker Santu, Liangda Li, Yi Chang, ChengXiang Zhai:
JIM: Joint Influence Modeling for Collective Search Behavior. CIKM 2018: 637-646 - [c103]Chao-Lin Liu, Yi Chang:
Classical Chinese Sentence Segmentation for Tomb Biographies of Tang Dynasty. DH 2018: 231-234 - [c102]Congying Xia, Chenwei Zhang, Xiaohui Yan, Yi Chang, Philip S. Yu:
Zero-shot User Intent Detection via Capsule Neural Networks. EMNLP 2018: 3090-3099 - [c101]Fuad Issa, Marco Damonte, Shay B. Cohen, Xiaohui Yan, Yi Chang:
Abstract Meaning Representation for Paraphrase Detection. NAACL-HLT 2018: 442-452 - [c100]Denghao Ma, Yueguo Chen, Kevin Chen-Chuan Chang, Xiaoyong Du, Chuanfei Xu, Yi Chang:
Leveraging Fine-Grained Wikipedia Categories for Entity Search. WWW 2018: 1623-1632 - [c99]Jundong Li, Jiliang Tang, Yilin Wang, Yali Wan, Yi Chang, Huan Liu:
Understanding and Predicting Delay in Reciprocal Relations. WWW 2018: 1643-1652 - [e4]Yi Chang, Chengxiang Zhai, Yan Liu, Yoelle Maarek:
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, WSDM 2018, Marina Del Rey, CA, USA, February 5-9, 2018. ACM 2018, ISBN 978-1-4503-5581-0 [contents] - [i19]Shuai Wang, Mianwei Zhou, Geli Fei, Yi Chang, Bing Liu:
Contextual and Position-Aware Factorization Machines for Sentiment Classification. CoRR abs/1801.06172 (2018) - [i18]Shuai Wang, Mianwei Zhou, Sahisnu Mazumder, Bing Liu, Yi Chang:
Disentangling Aspect and Opinion Words in Target-based Sentiment Analysis using Lifelong Learning. CoRR abs/1802.05818 (2018) - [i17]Congying Xia, Chenwei Zhang, Xiaohui Yan, Yi Chang, Philip S. Yu:
Zero-shot User Intent Detection via Capsule Neural Networks. CoRR abs/1809.00385 (2018) - [i16]Chiu Man Ho, Dae Hoon Park, Wei Yang, Yi Chang:
Sequenced-Replacement Sampling for Deep Learning. CoRR abs/1810.08322 (2018) - [i15]Dae Hoon Park, Yi Chang:
Adversarial Sampling and Training for Semi-Supervised Information Retrieval. CoRR abs/1811.04155 (2018) - [i14]Dae Hoon Park, Chiu Man Ho, Yi Chang, Huaqing Zhang:
Gradient-Coherent Strong Regularization for Deep Neural Networks. CoRR abs/1811.08056 (2018) - 2017
- [j23]Yiqun Liu, Jian-Yun Nie, Yi Chang:
Constructing click models for search users. Inf. Retr. J. 20(1): 1-3 (2017) - [j22]Yuening Hu, Changsung Kang, Jiliang Tang, Dawei Yin, Yi Chang:
Large-Scale Location Prediction for Web Pages. IEEE Trans. Knowl. Data Eng. 29(9): 1902-1915 (2017) - [j21]Yingfei Wang, Hua Ouyang, Hongbo Deng, Yi Chang:
Learning Online Trends for Interactive Query Auto-Completion. IEEE Trans. Knowl. Data Eng. 29(11): 2442-2454 (2017) - [j20]Hongning Wang, Rui Li, Milad Shokouhi, Hang Li, Yi Chang:
Search, Mining, and Their Applications on Mobile Devices: Introduction to the Special Issue. ACM Trans. Inf. Syst. 35(4): 29:1-29:17 (2017) - [c98]Yingfei Wang, Hua Ouyang, Chu Wang, Jianhui Chen, Tsvetan Asamov, Yi Chang:
Efficient Ordered Combinatorial Semi-Bandits for Whole-Page Recommendation. AAAI 2017: 2746-2753 - [c97]Peilin Yang, Mianwei Zhou, Yi Chang, Chengxiang Zhai, Hui Fang:
Towards Privacy-Preserving Evaluation for Information Retrieval Models Over Industry Data Sets. AIRS 2017: 210-221 - [c96]Tianyi Zhou, Hua Ouyang, Jeff A. Bilmes, Yi Chang, Carlos Guestrin:
Scaling Submodular Maximization via Pruned Submodularity Graphs. AISTATS 2017: 316-324 - [c95]Jingyuan Zhang, Chun-Ta Lu, Bokai Cao, Yi Chang, Philip S. Yu:
Connecting emerging relationships from news via tensor factorization. IEEE BigData 2017: 1223-1232 - [c94]Jundong Li, Harsh Dani, Xia Hu, Jiliang Tang, Yi Chang, Huan Liu:
Attributed Network Embedding for Learning in a Dynamic Environment. CIKM 2017: 387-396 - [c93]Jiawei Zhang, Jianhui Chen, Shi Zhi, Yi Chang, Philip S. Yu, Jiawei Han:
Link Prediction across Aligned Networks with Sparse and Low Rank Matrix Estimation. ICDE 2017: 971-982 - [c92]Tung-Yao Hsu, Yi Chang:
Modeling the habitat suitability index of skipjack tuna (katsuwonus pelamis) in the western and central pacific ocean. IGARSS 2017: 2950-2953 - [c91]Jen-Han Yang, Yi Chang:
Feasibility study of RFID-Mounted drone application in management of oyster farms. IGARSS 2017: 3610-3613 - [c90]Chuancong Gao, Jian Pei, Jiannan Wang, Yi Chang:
Schemaless Join for Result Set Preferences. IRI 2017: 569-578 - [c89]Makoto Yamada, Wenzhao Lian, Amit Goyal, Jianhui Chen, Kishan Wimalawarne, Suleiman A. Khan, Samuel Kaski, Hiroshi Mamitsuka, Yi Chang:
Convex Factorization Machine for Toxicogenomics Prediction. KDD 2017: 1215-1224 - [c88]Suhang Wang, Jiliang Tang, Charu C. Aggarwal, Yi Chang, Huan Liu:
Signed Network Embedding in Social Media. SDM 2017: 327-335 - [c87]Chuancong Gao, Jiannan Wang, Jian Pei, Rui Li, Yi Chang:
Preference-driven similarity join. WI 2017: 97-105 - [c86]Jiawei Zhang, Jianhui Chen, Junxing Zhu, Yi Chang, Philip S. Yu:
Link Prediction with Cardinality Constraint. WSDM 2017: 121-130 - [c85]Liangda Li, Hongbo Deng, Jianhui Chen, Yi Chang:
Learning Parametric Models for Context-Aware Query Auto-Completion via Hawkes Processes. WSDM 2017: 131-139 - [c84]Yilin Wang, Jiliang Tang, Jundong Li, Baoxin Li, Yali Wan, Clayton Mellina, Neil O'Hare, Yi Chang:
Understanding and Discovering Deliberate Self-harm Content in Social Media. WWW 2017: 93-102 - [c83]Shiyu Chang, Yang Zhang, Jiliang Tang, Dawei Yin, Yi Chang, Mark A. Hasegawa-Johnson, Thomas S. Huang:
Streaming Recommender Systems. WWW 2017: 381-389 - [c82]Shubhra Kanti Karmaker Santu, Liangda Li, Dae Hoon Park, Yi Chang, ChengXiang Zhai:
Modeling the Influence of Popular Trending Events on User Search Behavior. WWW (Companion Volume) 2017: 535-544 - [c81]Liangda Li, Hongbo Deng, Anlei Dong, Yi Chang, Ricardo Baeza-Yates, Hongyuan Zha:
Exploring Query Auto-Completion and Click Logs for Contextual-Aware Web Search and Query Suggestion. WWW 2017: 539-548 - [i13]Jundong Li, Jiliang Tang, Yilin Wang, Yali Wan, Yi Chang, Huan Liu:
Understanding and Predicting Delay in Reciprocal Relations. CoRR abs/1703.01393 (2017) - [i12]Jundong Li, Harsh Dani, Xia Hu, Jiliang Tang, Yi Chang, Huan Liu:
Attributed Network Embedding for Learning in a Dynamic Environment. CoRR abs/1706.01860 (2017) - [i11]Chuancong Gao, Jiannan Wang, Jian Pei, Rui Li, Yi Chang:
Preference-driven Similarity Join. CoRR abs/1706.04266 (2017) - 2016
- [j19]Jiliang Tang, Yi Chang, Charu C. Aggarwal, Huan Liu:
A Survey of Signed Network Mining in Social Media. ACM Comput. Surv. 49(3): 42:1-42:37 (2016) - [j18]Yi Chang, Makoto Yamada, Antonio Ortega, Yan Liu:
Lifecycle Modeling for Buzz Temporal Pattern Discovery. ACM Trans. Knowl. Discov. Data 11(2): 20:1-20:24 (2016) - [c80]Jiliang Tang, Suhang Wang, Xia Hu, Dawei Yin, Yingzhou Bi, Yi Chang, Huan Liu:
Recommendation with Social Dimensions. AAAI 2016: 251-257 - [c79]Jingyuan Zhang, Chun-Ta Lu, Mianwei Zhou, Sihong Xie, Yi Chang, Philip S. Yu:
HEER: Heterogeneous graph embedding for emerging relation detection from news. IEEE BigData 2016: 803-812 - [c78]Yunlong He, Jiliang Tang, Hua Ouyang, Changsung Kang, Dawei Yin, Yi Chang:
Learning to Rewrite Queries. CIKM 2016: 1443-1452 - [c77]Xiaolong Wang, Jingjing Wang, Luo Jie, Chengxiang Zhai, Yi Chang:
Blind Men and The Elephant: Thurstonian Pairwise Preference for Ranking in Crowdsourcing. ICDM 2016: 509-518 - [c76]Yi Chang, Jiliang Tang, Dawei Yin, Makoto Yamada, Yan Liu:
Timeline Summarization from Social Media with Life Cycle Models. IJCAI 2016: 3698-3704 - [c75]Jingjing Wang, Changsung Kang, Yi Chang, Jiawei Han:
Learning Hostname Preference to Enhance Search Relevance. IJCAI 2016: 3903-3909 - [c74]Dawei Yin, Yuening Hu, Jiliang Tang, Tim Daly Jr., Mianwei Zhou, Hua Ouyang, Jianhui Chen, Changsung Kang, Hongbo Deng, Chikashi Nobata, Jean-Marc Langlois, Yi Chang:
Ranking Relevance in Yahoo Search. KDD 2016: 323-332 - [c73]Shiyu Chang, Yang Zhang, Jiliang Tang, Dawei Yin, Yi Chang, Mark A. Hasegawa-Johnson, Thomas S. Huang:
Positive-Unlabeled Learning in Streaming Networks. KDD 2016: 755-764 - [c72]Shan Jiang, Yuening Hu, Changsung Kang, Tim Daly Jr., Dawei Yin, Yi Chang, ChengXiang Zhai:
Learning Query and Document Relevance from a Web-scale Click Graph. SIGIR 2016: 185-194 - [c71]Neil O'Hare, Paloma de Juan, Rossano Schifanella, Yunlong He, Dawei Yin, Yi Chang:
Leveraging User Interaction Signals for Web Image Search. SIGIR 2016: 559-568 - [c70]Jianhui Chen, Tianbao Yang, Qihang Lin, Lijun Zhang, Yi Chang:
Optimal Stochastic Strongly Convex Optimization with a Logarithmic Number of Projections. UAI 2016 - [c69]Yue Wang, Dawei Yin, Luo Jie, Pengyuan Wang, Makoto Yamada, Yi Chang, Qiaozhu Mei:
Beyond Ranking: Optimizing Whole-Page Presentation. WSDM 2016: 103-112 - [c68]Amit Goyal, Jianfeng Gao, Hongbo Deng, Yi Chang:
Query Understanding for Search on All Devices at WSDM 2016. WSDM 2016: 691-692 - [c67]Chikashi Nobata, Joel R. Tetreault, Achint Thomas, Yashar Mehdad, Yi Chang:
Abusive Language Detection in Online User Content. WWW 2016: 145-153 - [c66]Liangda Li, Hongbo Deng, Yunlong He, Anlei Dong, Yi Chang, Hongyuan Zha:
Behavior Driven Topic Transition for Search Task Identification. WWW 2016: 555-565 - [c65]Aston Zhang, Amit Goyal, Ricardo Baeza-Yates, Yi Chang, Jiawei Han, Carl A. Gunter, Hongbo Deng:
Towards Mobile Query Auto-Completion: An Efficient Mobile Application-Aware Approach. WWW 2016: 579-590 - [e3]Shaoping Ma, Ji-Rong Wen, Yiqun Liu, Zhicheng Dou, Min Zhang, Yi Chang, Wayne Xin Zhao:
Information Retrieval Technology - 12th Asia Information Retrieval Societies Conference, AIRS 2016, Beijing, China, November 30 - December 2, 2016, Proceedings. Lecture Notes in Computer Science 9994, Springer 2016, ISBN 978-3-319-48050-3 [contents] - [e2]Snehasis Mukhopadhyay, ChengXiang Zhai, Elisa Bertino, Fabio Crestani, Javed Mostafa, Jie Tang, Luo Si, Xiaofang Zhou, Yi Chang, Yunyao Li, Parikshit Sondhi:
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, CIKM 2016, Indianapolis, IN, USA, October 24-28, 2016. ACM 2016, ISBN 978-1-4503-4073-1 [contents] - [i10]Tianyi Zhou, Hua Ouyang, Yi Chang, Jeff A. Bilmes, Carlos Guestrin:
Scaling Submodular Maximization via Pruned Submodularity Graphs. CoRR abs/1606.00399 (2016) - [i9]Shiyu Chang, Yang Zhang, Jiliang Tang, Dawei Yin, Yi Chang, Mark A. Hasegawa-Johnson, Thomas S. Huang:
Streaming Recommender Systems. CoRR abs/1607.06182 (2016) - [i8]Yilin Wang, Suhang Wang, Jiliang Tang, Neil O'Hare, Yi Chang, Baoxin Li:
Hierarchical Attention Network for Action Recognition in Videos. CoRR abs/1607.06416 (2016) - 2015
- [j17]Changsung Kang, Dawei Yin, Ruiqiang Zhang, Nicolas Torzec, Jianzhang He, Yi Chang:
Learning to rank related entities in Web search. Neurocomputing 166: 309-318 (2015) - [j16]Changsung Khan, Jeehaeng Lee, Roi Blanco, Yi Chang:
Predicting primary categories of business listings for local search ranking. Neurocomputing 168: 961-969 (2015) - [j15]Makoto Yamada, Leonid Sigal, Michalis Raptis, Machiko Toyoda, Yi Chang, Masashi Sugiyama:
Cross-Domain Matching with Squared-Loss Mutual Information. IEEE Trans. Pattern Anal. Mach. Intell. 37(9): 1764-1776 (2015) - [j14]Bo Long, Jiang Bian, Olivier Chapelle, Ya Zhang, Yoshiyuki Inagaki, Yi Chang:
Active Learning for Ranking through Expected Loss Optimization. IEEE Trans. Knowl. Data Eng. 27(5): 1180-1191 (2015) - [c64]Wei Sun, Pengyuan Wang, Dawei Yin, Jian Yang, Yi Chang:
Causal Inference via Sparse Additive Models with Application to Online Advertising. AAAI 2015: 297-303 - [c63]